Triple
T22774113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Topcliffe |
E563643
|
entity |
| Predicate | civilParish |
P2739
|
FINISHED |
| Object | Topcliffe |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Topcliffe | Statement: [Topcliffe, civilParish, Topcliffe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Topcliffe Context triple: [Topcliffe, civilParish, Topcliffe]
-
A.
Topcliffe
chosen
Topcliffe is a village in North Yorkshire, England, known for its historic setting near the River Swale and its long-standing rural community.
-
B.
Withersfield
Withersfield is a small rural village and civil parish located in the English county of Suffolk.
-
C.
Dukenfield
Dukenfield is the surname of William Claude Dukenfield, better known as the American comedian and actor W.C. Fields.
-
D.
Haigh-Wood
Haigh-Wood is the hyphenated English family surname associated with Vivienne Haigh-Wood Eliot, the first wife of poet T. S. Eliot.
-
E.
Hovingham
Hovingham is a rural village and civil parish in North Yorkshire, England, known for its historic estate Hovingham Hall and traditional English countryside setting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b6040048190a36fa759e06136ea |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:27 p.m.